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Many people underestimate the power of good prompts. Here are 5… | How to Prompt | 33 comments
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Reinforcement Learning has a feedback type of algorithm. With this article, Reinforcement Learning Algorithms and Applications. #algorithms #application #machinelearning #programming
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Many of you asked for an AI Agent learning roadmap recently Here's a fresh, comprehensive guide based on the latest trends... AI Agents are shaping the future of AI in 2025 and beyond. But getting started can feel overwhelming if you don't have a clear direction. To help you, I’ve attached a detailed roadmap made in collaboration with experts. 📌 Level 1: Basics of ML and GenAI - Basics of Python and Typescript Key Concepts to Learn: a. Data types and control structures. b. File I/O...
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Reinforcement Learning has a feedback type of algorithm. With this article, Reinforcement Learning Algorithms and Applications. #algorithms #application #machinelearning #programming
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Prompt Engineering is the art of crafting effective prompts to elicit the desired response from a language model like ChatGPT. A well-structured prompt can significantly influence the quality and relevance of the generated text. By following this framework, you can create more effective and tailored prompts that will help you get the most out of ChatGPT.
Unlock the Full Potential of ChatGPT: Essential Prompt Frameworks

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⬆️Tap the link for more!⬆️#chatgptprompts #bestchatgptprompts #creativechatgptideas #chatgptpromptideas #chatgptpromptsforbeginners #advancedchatgptprompts #freechatgptprompts #chatgpttextprompts #aiwritingprompts #gptpromptinspirationUnlock the Full Potential of ChatGPT: Essential Prompt Frameworks
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Gen AI Mindmap Overview 🔹 Core Concepts – Includes transformers, neural… | Denis Panjuta | 88 comments Machine Learning Mind Map, Business Intelligence Mind Map, Deep Learning Mind Map, Neural Network Mind Map, Mind Mapping Software Guide, Machine Learning Mind Map Github, Gan Neural Network Flowchart, Mind Map On Multiple Intelligences, Mind Mapping Software Features

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Gen AI Mindmap Overview 🔹 Core Concepts – Includes transformers, neural networks, diffusion models, GANs, and RLHF, forming the foundation of generative AI. 🔹 Generative AI Models – Popular models like GPT, BERT, T5, DALL-E, and MidJourney power AI-driven creativity and automation. 🔹 Generative AI Tools – Platforms like ChatGPT, Bard, Claude, and ElevenLabs assist in content generation, coding, and automation. 🔹 Generative AI Applications – Covers text, image, video, and code generation...
Denis Panjuta on LinkedIn: Steps to Build AI Agents Without Coding 1. Define the Purpose &… | 97 comments Dbt For Data Engineers, Steps For Cybersecurity Improvement, Linked List Implementation Guide, Tech Skills For Developers, Data Scientist Skills, Steps To Become Coding Expert, Nist Cybersecurity Framework Cobit, How To Start Deep Learning, What Is No Code

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Steps to Build AI Agents Without Coding 1. Define the Purpose & Goal Decide what your AI agent will do, such as answering queries, automating workflows, or generating content. 2. Choose the Right AI Model Select a model based on the task—GPT for conversations, AutoGPT for automation, or LangChain for data processing. 3. Select a No-Code AI Platform Use platforms like Make.com, Zapier, or Pipedream to build and deploy AI workflows without coding. 4. Integrate APIs & Data Sources Connect APIs...